搜索资源列表
Perceptron
- Neural network Perceptron For Xor classification
multi-layer-Perceptron
- matlab source code for Multi-layer Perceptron
single-layer-perceptron
- implementation of simpe layer perceptron in c++ for the function AND, OR
matlab---perceptron
- matlab实现的感知机应用上的实例，对其具体功能的加深认识-matlab implementation of Perceptron application examples to deepen understanding of their specific functions
perceptron
- A simple perceptron neural network implemented in matlab
multi-layer-perceptron-master
- multi-layer perceptron implemented in java.m ulti-layer perceptron implemented in java.-multi-layer perceptron implemented in java.multi-layer perceptron implemented in java.multi-layer perceptron implemented in java.
Perceptron-Approach
- 已知两类训练样本为 设 ,用感知器算法求解判别函数，并绘出判别界面。-Known types of training samples set, with the Perceptron Algorithm discriminant function, and draw the discriminant interface.
Perceptron-Using-MATLAB
- Perceptron Using MATLAB
Perceptron
- 感知机算法(内含测试数据tic-tac-toe(三连棋游戏-Perceptron algorithm (containing test data tic-tac-toe (three with chess games))
Perceptron
- 机器学习中Perceptron算法统计词频-The statistics of words of perceptron algorithm in Machine Learning
twoinput-perceptron
- 利用感知机神经网络实现最简单的与或运算。-Use Perceptron neural network with the most simple or operations.
Single-Discreet-Neuron-Perceptron-Alg
- Single Discreet Neuron Perceptron Alg
Perceptron
- perceptron algorithm, caltech, yaser, matalb, source code
Perceptron.cpp
- Algoritmo de un perceptron, redes neuronales
Perceptron
- perceptron implementation with matlab
Perceptron
- 用C寫的單層感知機，類神經網路的作業，沒有圖型介面，有讀檔之功能。-Written in C single Perceptron, neural network operations, no graphics interface, reading files of a functional.
Perceptron-algorithm
- 采用c语言实现神经网络中的感知机算法的源代码-Using c language Perceptron neural network algorithm source code
Perceptron
- 模式识别课小作业 简单感知器matlab实现-Pattern Recognition smaller jobs simple lesson Perceptron matlab implementation
Perceptron
- perceptron, is a code a pseudo learning machine
PERCEPTRON
- 机器学习感知器。。。简单易懂，欢迎大家参考-Perceptron machine learning. . . Easy to understand, we welcome the reference. . . Thank you